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Build high level timeseries view of key metrics [8 pts] {lion}
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Description

Notes from James

Important metrics, with real-life caveats, as graphed:

  • Bounce Rate: out of all "normal" ready states, how many are not followed by attempt, intent, success, or failure?
  • Save Failure Rate: out of all "normal" attempt states, how many are not successes?
  • Save Success Rate: out of all "normal" attempt states, how many are followed by successes?
  • Save Not Attempted Rate: out of all "normal" ready states, how many are not followed by an attempt to save?
  • investigate difference in ptwiki vs. plwiki (or other pairs that are wildly differing on core metrics above)
    • look at network connection quality, use location info (generic if specific not possible)
  • comparisons to wikitext editor
    • rates + funnel
  • do not care about timing information this quarter
  • under starburst, list main paths through funnel graph with numbers / percentages
    • init-ready-intent-attempt-success
    • init-ready-abort
  • how does failure type correlate to eventual success
  • look into init-ready-end and double check those are aborts and not some other silly problem

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Milimetric renamed this task from Build high level timeseries view of key metrics (save / ready rate) to Build high level timeseries view of key metrics.Feb 10 2015, 8:34 PM
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kevinator renamed this task from Build high level timeseries view of key metrics to Build high level timeseries view of key metrics [8pts] {bear}.Feb 12 2015, 4:10 PM
kevinator renamed this task from Build high level timeseries view of key metrics [8pts] {bear} to Build high level timeseries view of key metrics [8 pts] {bear}.Feb 17 2015, 10:33 PM
kevinator renamed this task from Build high level timeseries view of key metrics [8 pts] {bear} to Build high level timeseries view of key metrics [8 pts] {lion}.Feb 19 2015, 2:09 AM

code reviewed and merged.